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Staff Data Scientist
multiple data environments Analyze complex datasets to understand performance and drivers for losses across various products Required Qualifications 6+ years of loss forecasting experience with a Master's or PhD in a quantitative field Proficient in Python
Forward Deployed Engineer
documentation and provide hands-on assistance during deployments Required Qualifications 3+ years of experience in software engineering or a similar technical customer-facing role Strong DevOps/MLOps skills with hands-on Kubernetes experience Proficient in Python
Inventory Forecasting Manager
analytics Familiarity with SAP Business One or SAP S4 Hana Proficiency with SQL for querying ERP or warehouse systems Experience with Power BI, Power Query, or similar business intelligence tools Exposure to or interest in using machine learning, Python
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CCNA Certified Test Engineer
., IXIA, Spirent, Python) Experience in developing test plans and executing validation for new platform rollouts
Lead Data Scientist
systems and applying statistical methods to real-world problems 2+ years of experience in developing data science, analytics, and AI/ML solutions Proven track record of deploying machine learning models in production environments Experience with Python
Labor Market Analyst Director
., R, Python, or SPSS) Experience working with labor market data sources (e.g., Lightcast, BLS, O*NET, etc.) Utilization of AI tools in data analysis
Data Scientist
experience in data science, particularly in predictive modeling within healthcare or life sciences Expertise in machine learning algorithms and deep learning architectures, especially with transformer models Proficiency in programming languages like Python
